The IPTG regulation effect on the tuning of the KinA levels has been modelled by following some of the assumptions available in literature [ 16, 38, 43, 44].
However, when no a priori assumption is available, all variables (after checking for correlations) should be included in the model.
Unfortunately, regression models are frequently interpreted with the assumption that available data are representative of the entire study population.
This was considered a reasonable assumption because available records from this geographic area and time period indicated little or no PCE contamination of these water sources.
Many approaches for assessing the PH assumption are available for standard cohort studies, including both graphical methods and statistical tests [ 10- 19].
While the proportion by which the three domains impact on the intention can vary between different behaviours [ 26], no assumption was available to define specific proportions for the concrete decision-making scenario.
Ordinal logistic regression analyses (without variance estimation since no test for the parallel regression assumption was available with STATA survey command) were performed with perceived need for any dental care as categorical dependent variable.
